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Environmental Engineering or a related field High proficiency in programming languages (e.g., Python or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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programming languages and tools commonly used in robotics, such as C , MATLAB, Python, and ROS. Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary
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-solving skills. Team player with good communication skills. Proficiency in English. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement
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learning, or human-centered ML. Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. Excellent abilities
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algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems
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engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science is required. Additionally, excellent communication skills in English and
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design and fabrication, electronics, chemical coatings, and in vitro and in vivo experimentation) are required. Proficiency in English is required. For consideration, applicants need to submit a cover
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Description The Shubeita laboratory in the program of Physics, New York University Abu Dhabi, seeks to recruit a post-doctoral research associate to work on unravelling principles that drive
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communication theory, signal processing, machine learning, and optimization theory. Strong verbal and written skills in English. Excellent analytical and problem-solving skills, and capacity to pursue independent